Localized and Long-Lasting Adaptation in Dragonfly Target-Detecting Neurons

Some visual neurons in the dragonfly (<i>Hemicordulia tau</i>) optic lobe respond to small, moving targets, likely underlying their fast pursuit of prey and conspecifics. In response to repetitive targets presented at short intervals, the spiking activity of these "small target motion detector" (STMD) neurons diminishes over time. Previous experiments limited this adaptation by including intertrial rest periods of varying durations. However, the characteristics of this effect have never been quantified. Here, using extracellular recording techniques lasting for several hours, we quantified both the spatial and temporal properties of STMD adaptation. We found that the time course of adaptation was variable across STMD units. In any one STMD, a repeated series led to more rapid adaptation, a minor accumulative effect more akin to habituation. Following an adapting stimulus, responses recovered quickly, though the rate of recovery decreased nonlinearly over time. We found that the region of adaptation is highly localized, with targets displaced by ∼2.5° eliciting a naive response. Higher frequencies of target stimulation converged to lower levels of sustained response activity. We determined that adaptation itself is a target-tuned property, not elicited by moving bars or luminance flicker. As STMD adaptation is a localized phenomenon, dependent on recent history, it is likely to play an important role in closed-loop behavior where a target is foveated in a localized region for extended periods of the pursuit duration<b>.</b>

Authors

Institutions

Publication Details

Journal
eNeuro
Published
2024-09-01
DOI
https://doi.org/10.1523/eneuro.0036-24.2024
Primary Topic
Neurobiology and Insect Physiology Research
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Localized and Long-Lasting Adaptation in Dragonfly Target-Detecting Neurons

Steven D. Wiederman, Bernard J. E. Evans, David C. O’Carroll, Joseph M. Fabian et al.
eNeuro
Neurobiology and Insect Physiology Research
article

Localized and Long-Lasting Adaptation in Dragonfly Target-Detecting Neurons

Steven D. Wiederman, Bernard J. E. Evans, David C. O’Carroll, Joseph M. Fabian, Matthew B Schwarz
article en

Abstract

Some visual neurons in the dragonfly (<i>Hemicordulia tau</i>) optic lobe respond to small, moving targets, likely underlying their fast pursuit of prey and conspecifics. In response to repetitive targets presented at short intervals, the spiking activity of these "small target motion detector" (STMD) neurons diminishes over time. Previous experiments limited this adaptation by including intertrial rest periods of varying durations. However, the characteristics of this effect have never been quantified. Here, using extracellular recording techniques lasting for several hours, we quantified both the spatial and temporal properties of STMD adaptation. We found that the time course of adaptation was variable across STMD units. In any one STMD, a repeated series led to more rapid adaptation, a minor accumulative effect more akin to habituation. Following an adapting stimulus, responses recovered quickly, though the rate of recovery decreased nonlinearly over time. We found that the region of adaptation is highly localized, with targets displaced by ∼2.5° eliciting a naive response. Higher frequencies of target stimulation converged to lower levels of sustained response activity. We determined that adaptation itself is a target-tuned property, not elicited by moving bars or luminance flicker. As STMD adaptation is a localized phenomenon, dependent on recent history, it is likely to play an important role in closed-loop behavior where a target is foveated in a localized region for extended periods of the pursuit duration<b>.</b>

eNeuroVol. 11(9)
Lund University (SE), The University of Adelaide (AU)
Australian Government, Swedish Foundation for International Cooperation in Research and Higher Education, Svenska Forskningsrådet Formas, Vetenskapsrådet
Peace, Justice and strong institutions, Reduced inequalities
Openalex Percentile: Top 84%
Neurobiology and Insect Physiology Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.